How to use Hugging Face for computer vision
Hugging Face isn't just for NLP tasks. We show you how to use it for computer vision as well.
Category
Machine learning
Apify can help you generate large-scale datasets from the web for the training of your artificial intelligence and machine learning models.
34 Posts
Question answering and conversational models with Hugging Face
How to use Hugging Face's question-answering pipelines for natural language processing.
Text generation with Hugging Face
An exploration of the Hugging Face text-to-text generation pipeline.
Machine translation with Hugging Face: how to use the translation pipeline
How to make your own translator system with Hugging Face.
Web scraping for machine learning
An introduction to web scraping as a method of data acquisition for ML applications
What is data ingestion for large language models?
Learn about the process of collecting and preparing data for your own LLMs. Tools and tips included.
AIOps vs. MLOps
Distinctions and use cases of Artificial Intelligence for IT Operations and Machine Learning Operations
A guide to data collection for training computer vision models
How to create datasets from image and video data for machine learning applications.
What is Pinecone and why use it with your LLMs?
The rise of generative AI resulted in a massive interest in vector databases, making Pinecone an industry leader.
What are embeddings in AI?
An introduction to embeddings: what they are, how to create them, and why they're so important for NLP and LLMs.
What is MLOps?
Learn all about MLOps: what it's for, how it works, and how to create your own MLOps solution.
How to use Hugging Face: an introduction to transformers and pipelines
How to use Hugging Face transformers and pipelines for AI and DL applications.
What is AIOps?
Learn all about AIOps: what it's for, how it works, and how to create your own AIOps solution.
Deep learning with Keras
How to create your first Keras model for deep learning, and what's new in Keras 3.0
Multimodal AI: what can it do, and why is it a game-changer?
Current uses of multimodal AI and implications for the future.
Emotion detection through multinomial logistic regression
Delve deep into multinomial logistic regression using real-world IMDb movie data.
